The position is for Sano’s Clinical Data Science team. Our group develops a new generation of semantically integrated databases for clinical and biomedical. Our system will build on recent Big Data workflow technologies to integrate using a multitude of very large data sets, including text mining results, mutation databases, internal and external -omics high-throughput sets, ontologies, and clinical data.
The project sets out to construct, integrate, and analysis biological networks from various databases to answer questions related to cancer biology. There is a computational need for accessing data from publicly available databases (RDBMS, O-O, XML-based, Files, and Graph databases) using ODBC or using APIs. This requires the unification of all different formats to globally accepted format that van be that can be ported into networks (JSON, JSON-LD, RDF, etc.). Once the databases are unified and networks are constructed, there will be a computational step of pruning out the noise. Further analyses include clustering, pattern mining, shortest paths, subgraphs will be crucial to investigate.
The position is especially adequate for Master’s students or engineers who want to learn about, apply and further develop workflow technologies for scalable data integration in the exciting field of clinical data science and analytics. You will contribute to the ambition of Sano’s Clinical Data Science team to be nationally and internationally recognized for its strengths in clinical data science in general and biomedical data analytics, in particular.
Postgraduate study can be a great opportunity to gain advanced training, new skills and in-depth subject knowledge. If you’re thinking about a scientific career, you’re interested in computational medicine and are looking at various options, Sano might be the perfect place for you.
Sano is a new nonprofit research institute dedicated to the advancement of computational medicine, developing sophisticated computer methods for the prevention, diagnosis and treatment of disease, to meet the overarching worldwide need for efficient, effective and streamlined healthcare.
We recognize that it is all about the skills of people involved in the project, to develop Sano into the world-class research centre for advanced computational medicine.
We’re looking for the best people around and invite all students interested in applied research within computational medicine to apply. The MSc programme at Sano is aimed at providing the next generation of healthcare technology innovators with unique skills.
By applying, you will let us know about your interest in education at Sano. We’re looking for students to work at all our Research Groups – Healthcare Informatics, Computer Vision Data Science, Modeling and Simulation, Clinical Data Science, Personal Health Data Science and Extreme-Scale Data and Computing.
We’re waiting for you!
You are expected to do:
Required background and skills of the candidate:
We offer a stipend contract maximally until end of 2023 (or until graduation at the end of summer semester of 2022/2023 academic year), and expect the student to work on the project for approx. 16 hours per week (40% FTE). This includes attendance in courses, trainings and internal research meetings. The research will be conducted in close collaboration with supervisors at Sano and AGH.
The student will receive a stipend of up to 2500 PLN gross monthly for the duration of the contract.
Sano offers excellent opportunities for study and development, an access to many international conferences on computational medicine and a possibility to grow in a scientific society.
Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact us at
Sano Centre for Computational Medicine is a new International Scientific Foundation located in Kraków, Poland.
Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives.
Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.
Sano acts as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements onto clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading center on a global level.
As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations, data science, and other computational technologies towards overcoming global challenges in healthcare systems. The research agenda will be executed in close collaboration with Partners in Poland, EU and USA.
Sano is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.
Do you recognize yourself in the job profile? Then we look forward to receiving your application.
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